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Understanding deep learning is also a job for physicists

Automated learning from data by means of deep neural networks is finding use in an ever-increasing number of applications, yet key theoretical questions about how it works remain unanswered. A physics-based approach may help to bridge this gap.

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Fig. 1: Interplay of key ingredients.

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Correspondence to Lenka Zdeborová.

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Zdeborová, L. Understanding deep learning is also a job for physicists. Nat. Phys. 16, 602–604 (2020). https://doi.org/10.1038/s41567-020-0929-2

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